Big Data jobs and careers

As the use of Big Data in business gets more and more prevalent the ability to quickly and effectively produce data algorithms that can analyse large complex datasets is crucial. In order to do this, the right data infrastructure needs to be in place.

Why consider a career in Big Data?

Data Engineers build databases, data warehouses and data lakes to service the needs of the Data Analysts and Data Scientists in their businesses. This area is fast growing and Data Engineers are in massive demand as so many companies race to unlock the value in their data.

Typical Big Data role titles include

Data Engineer
Big Data Engineer
Data Developer
BI Engineer
BI Developer
Business Intelligence Developer
Business Intelligence Engineer
Big Data Developer
Hadoop Developer
Data factory Developer
Hadoop Engineer
Data Availability Engineer
Data Science Engineer
Big Data Software Engineer
Platform Engineer
Data Warehouse Engineer
DWH Engineer
DWH Programmer
DWH Developer
Datawarehouse Developer
Datawarehouse Engineer
Datawarehouse Programmer
SQL Server Engineer
Data Infrastructure Engineer
Data Infrastructure Programmer
Data Infrastructure Developer
Data Analytics Engineer
Big Data Architect
Hadoop Architect
Hadoop Specialist
Big Data Specialist
Big Data Lead
Head of Big Data
Data Architecture specialist
Head of Data Architecture

Big Data Career progression example

Junior Data Engineer
Data Engineer
Senior Data Engineer
Lead Data Engineer
Head of Data Engineering
Data Architect

Is it right for me? The skills it takes…

The skills needed can be split into 3 categories; programming skills, data science understanding and problem-solving.

Programming skills: Java | Python | Golang | Cython | Software Design – A background in APIs e.g. web APIs and static/dynamic libraries | ML Libraries – e.g. TensorFlow, CNTK, MLib, Spark, Kafka, Kinesis, Redshift.

 What qualifications does it take have a career in Big Data?

A BSc, Masters (MSc) or Doctorate (PhD) in a maths, physics, statistics, artificial intelligence (AI), software engineering, engineering or computer science field with technical skills in programming. Demonstrable experience working with large data sets or alternatively candidates will work in Business Intelligence and then do online courses /self-learning/ get trained up on Big Data Engineering and Architecture and can move into these roles through this route.

Our Data, Insight & Analytics recruitment team

  • Principal Recruiter

    Data Platform & Architecture

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    Scott Rogers

  • Lead Senior Recruiter

    Data, Insight & Analytics

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    Tegan Fenn

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Our latest Data, Insight & Analytics jobs

We connect ambitious organisations with their greatest assets, equally ambitious talent.

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Lead the Future of Analytics Intelligence

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Work on high-profile projects, including FIFA & World Cup 2026.

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20th Feb

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Ownership of Digital Analytics, Google Analytics and Google Tag Manager

Opportunity for growth in a dynamic, evolving digital analytics space.

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Linked-Data Specialist

Purpose Driven

  • Remote, UK Based
  • Permanent
  • 40,000 - 60,000

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Build Data-Driven Solutions with Real Impact

Shape the future of data integration in a meaningful role.

Collaborate in a supportive and innovative remote-first environment.

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11th Feb

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